Mark Warner VA US Inactive
FRIENDS OF MARK WARNER
Elect Mark Warner
Elect Mark Warner
Chip in now >>
Chip in now >>
Ad copy
It's Mark Warner. I'm up against an important end-of-month deadline, but right now, I'm falling a little bit behind of where we need to be. Can I count on your help to today to hit my goal, defend my seat next year, and continue the fight against Donald Trump?
It's Mark Warner. I'm up against an important end-of-month deadline, but right now, I'm falling a little bit behind of where we need to be. Can I count on your help to today to hit my goal, defend my seat next year, and continue the fight against Donald Trump?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 46.1/100 |
| Spend / Reach / Long. / Eff. | 53.9 · 76.3 · 2.2 · 52.2 |
| Spend range | USD 7,000–7,999 |
| Impressions | 90,000 – 99,999 |
| CPM (≈ $/1k impr) | USD 78.94 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 9 (2025-07-23 → 2025-08-01) |
| Created | 2025-07-21 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | VA — Mark Warner |
| Surfaced by | “senate:Mark Warner” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Bold cyan deadline banner overlaid on a casual, direct-to-camera candidate video |
| Tactic | Classic end-of-month fundraising urgency tactic combining a personal scarcity appeal ('falling behind') with anti-Trump framing to motivate small-dollar donors. |
Where it ran (delivery by region)
| Virginia | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 2.9% |
| 65+ · male | 21.0% |
| 65+ · female | 41.3% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 8.1% |
| 55-64 · female | 15.4% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.0% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 1.3% |
| 35-44 · female | 2.3% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.6% |
| 25-34 · female | 0.8% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.7% |
